Overview

Dataset statistics

Number of variables24
Number of observations30000
Missing cells0
Missing cells (%)0.0%
Duplicate rows35
Duplicate rows (%)0.1%
Total size in memory5.5 MiB
Average record size in memory192.0 B

Variable types

Numeric21
Categorical3

Alerts

Dataset has 35 (0.1%) duplicate rowsDuplicates
X10 is highly overall correlated with X11 and 8 other fieldsHigh correlation
X11 is highly overall correlated with X10 and 8 other fieldsHigh correlation
X12 is highly overall correlated with X13 and 8 other fieldsHigh correlation
X13 is highly overall correlated with X10 and 10 other fieldsHigh correlation
X14 is highly overall correlated with X10 and 11 other fieldsHigh correlation
X15 is highly overall correlated with X10 and 13 other fieldsHigh correlation
X16 is highly overall correlated with X10 and 13 other fieldsHigh correlation
X17 is highly overall correlated with X10 and 11 other fieldsHigh correlation
X18 is highly overall correlated with X12 and 5 other fieldsHigh correlation
X19 is highly overall correlated with X14 and 5 other fieldsHigh correlation
X20 is highly overall correlated with X15 and 7 other fieldsHigh correlation
X21 is highly overall correlated with X15 and 6 other fieldsHigh correlation
X22 is highly overall correlated with X15 and 5 other fieldsHigh correlation
X23 is highly overall correlated with X16 and 4 other fieldsHigh correlation
X6 is highly overall correlated with X7 and 2 other fieldsHigh correlation
X7 is highly overall correlated with X10 and 7 other fieldsHigh correlation
X8 is highly overall correlated with X10 and 9 other fieldsHigh correlation
X9 is highly overall correlated with X10 and 10 other fieldsHigh correlation
X19 is highly skewed (γ1 = 30.45381745)Skewed
X6 has 14737 (49.1%) zerosZeros
X7 has 15730 (52.4%) zerosZeros
X8 has 15764 (52.5%) zerosZeros
X9 has 16455 (54.9%) zerosZeros
X10 has 16947 (56.5%) zerosZeros
X11 has 16286 (54.3%) zerosZeros
X12 has 2008 (6.7%) zerosZeros
X13 has 2506 (8.4%) zerosZeros
X14 has 2870 (9.6%) zerosZeros
X15 has 3195 (10.7%) zerosZeros
X16 has 3506 (11.7%) zerosZeros
X17 has 4020 (13.4%) zerosZeros
X18 has 5249 (17.5%) zerosZeros
X19 has 5396 (18.0%) zerosZeros
X20 has 5968 (19.9%) zerosZeros
X21 has 6408 (21.4%) zerosZeros
X22 has 6703 (22.3%) zerosZeros
X23 has 7173 (23.9%) zerosZeros

Reproduction

Analysis started2025-12-10 11:31:54.487347
Analysis finished2025-12-10 11:33:09.106781
Duration1 minute and 14.62 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

X1
Real number (ℝ)

Distinct81
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167484.32
Minimum10000
Maximum1000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:09.266826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile20000
Q150000
median140000
Q3240000
95-th percentile430000
Maximum1000000
Range990000
Interquartile range (IQR)190000

Descriptive statistics

Standard deviation129747.66
Coefficient of variation (CV)0.77468541
Kurtosis0.5362629
Mean167484.32
Median Absolute Deviation (MAD)90000
Skewness0.99286696
Sum5.0245297 × 109
Variance1.6834456 × 1010
MonotonicityNot monotonic
2025-12-10T15:33:09.440259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500003365
 
11.2%
200001976
 
6.6%
300001610
 
5.4%
800001567
 
5.2%
2000001528
 
5.1%
1500001110
 
3.7%
1000001048
 
3.5%
180000995
 
3.3%
360000881
 
2.9%
60000825
 
2.8%
Other values (71)15095
50.3%
ValueCountFrequency (%)
10000493
 
1.6%
160002
 
< 0.1%
200001976
6.6%
300001610
5.4%
40000230
 
0.8%
500003365
11.2%
60000825
 
2.8%
70000731
 
2.4%
800001567
5.2%
90000651
 
2.2%
ValueCountFrequency (%)
10000001
 
< 0.1%
8000002
 
< 0.1%
7800002
 
< 0.1%
7600001
 
< 0.1%
7500004
< 0.1%
7400002
 
< 0.1%
7300002
 
< 0.1%
7200003
 
< 0.1%
7100006
< 0.1%
7000008
< 0.1%

X2
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2
18112 
1
11888 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Length

2025-12-10T15:33:09.602558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-12-10T15:33:09.698783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Most occurring characters

ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
218112
60.4%
111888
39.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
218112
60.4%
111888
39.6%

X3
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8531333
Minimum0
Maximum6
Zeros14
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:09.774882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.79034866
Coefficient of variation (CV)0.42649314
Kurtosis2.0786216
Mean1.8531333
Median Absolute Deviation (MAD)1
Skewness0.97097205
Sum55594
Variance0.624651
MonotonicityNot monotonic
2025-12-10T15:33:09.886224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
214030
46.8%
110585
35.3%
34917
 
16.4%
5280
 
0.9%
4123
 
0.4%
651
 
0.2%
014
 
< 0.1%
ValueCountFrequency (%)
014
 
< 0.1%
110585
35.3%
214030
46.8%
34917
 
16.4%
4123
 
0.4%
5280
 
0.9%
651
 
0.2%
ValueCountFrequency (%)
651
 
0.2%
5280
 
0.9%
4123
 
0.4%
34917
 
16.4%
214030
46.8%
110585
35.3%
014
 
< 0.1%

X4
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
2
15964 
1
13659 
3
 
323
0
 
54

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Length

2025-12-10T15:33:10.045343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-12-10T15:33:10.148497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Most occurring characters

ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
215964
53.2%
113659
45.5%
3323
 
1.1%
054
 
0.2%

X5
Real number (ℝ)

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.4855
Minimum21
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:10.275454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile23
Q128
median34
Q341
95-th percentile53
Maximum79
Range58
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.2179041
Coefficient of variation (CV)0.25976537
Kurtosis0.044303378
Mean35.4855
Median Absolute Deviation (MAD)6
Skewness0.73224587
Sum1064565
Variance84.969755
MonotonicityNot monotonic
2025-12-10T15:33:10.439695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
291605
 
5.3%
271477
 
4.9%
281409
 
4.7%
301395
 
4.7%
261256
 
4.2%
311217
 
4.1%
251186
 
4.0%
341162
 
3.9%
321158
 
3.9%
331146
 
3.8%
Other values (46)16989
56.6%
ValueCountFrequency (%)
2167
 
0.2%
22560
 
1.9%
23931
3.1%
241127
3.8%
251186
4.0%
261256
4.2%
271477
4.9%
281409
4.7%
291605
5.3%
301395
4.7%
ValueCountFrequency (%)
791
 
< 0.1%
753
 
< 0.1%
741
 
< 0.1%
734
 
< 0.1%
723
 
< 0.1%
713
 
< 0.1%
7010
< 0.1%
6915
0.1%
685
 
< 0.1%
6716
0.1%

X6
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0167
Minimum-2
Maximum8
Zeros14737
Zeros (%)49.1%
Negative8445
Negative (%)28.1%
Memory size234.5 KiB
2025-12-10T15:33:10.571404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1238015
Coefficient of variation (CV)-67.293505
Kurtosis2.720715
Mean-0.0167
Median Absolute Deviation (MAD)1
Skewness0.73197493
Sum-501
Variance1.2629299
MonotonicityNot monotonic
2025-12-10T15:33:10.684278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
014737
49.1%
-15686
 
19.0%
13688
 
12.3%
-22759
 
9.2%
22667
 
8.9%
3322
 
1.1%
476
 
0.3%
526
 
0.1%
819
 
0.1%
611
 
< 0.1%
ValueCountFrequency (%)
-22759
 
9.2%
-15686
 
19.0%
014737
49.1%
13688
 
12.3%
22667
 
8.9%
3322
 
1.1%
476
 
0.3%
526
 
0.1%
611
 
< 0.1%
79
 
< 0.1%
ValueCountFrequency (%)
819
 
0.1%
79
 
< 0.1%
611
 
< 0.1%
526
 
0.1%
476
 
0.3%
3322
 
1.1%
22667
 
8.9%
13688
 
12.3%
014737
49.1%
-15686
 
19.0%

X7
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13376667
Minimum-2
Maximum8
Zeros15730
Zeros (%)52.4%
Negative9832
Negative (%)32.8%
Memory size234.5 KiB
2025-12-10T15:33:10.803039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.197186
Coefficient of variation (CV)-8.9498079
Kurtosis1.5704177
Mean-0.13376667
Median Absolute Deviation (MAD)0
Skewness0.79056502
Sum-4013
Variance1.4332543
MonotonicityNot monotonic
2025-12-10T15:33:10.911922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
015730
52.4%
-16050
 
20.2%
23927
 
13.1%
-23782
 
12.6%
3326
 
1.1%
499
 
0.3%
128
 
0.1%
525
 
0.1%
720
 
0.1%
612
 
< 0.1%
ValueCountFrequency (%)
-23782
 
12.6%
-16050
 
20.2%
015730
52.4%
128
 
0.1%
23927
 
13.1%
3326
 
1.1%
499
 
0.3%
525
 
0.1%
612
 
< 0.1%
720
 
0.1%
ValueCountFrequency (%)
81
 
< 0.1%
720
 
0.1%
612
 
< 0.1%
525
 
0.1%
499
 
0.3%
3326
 
1.1%
23927
 
13.1%
128
 
0.1%
015730
52.4%
-16050
 
20.2%

X8
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1662
Minimum-2
Maximum8
Zeros15764
Zeros (%)52.5%
Negative10023
Negative (%)33.4%
Memory size234.5 KiB
2025-12-10T15:33:11.019273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1968676
Coefficient of variation (CV)-7.2013692
Kurtosis2.0844359
Mean-0.1662
Median Absolute Deviation (MAD)0
Skewness0.84068183
Sum-4986
Variance1.432492
MonotonicityNot monotonic
2025-12-10T15:33:11.128928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
015764
52.5%
-15938
 
19.8%
-24085
 
13.6%
23819
 
12.7%
3240
 
0.8%
476
 
0.3%
727
 
0.1%
623
 
0.1%
521
 
0.1%
14
 
< 0.1%
ValueCountFrequency (%)
-24085
 
13.6%
-15938
 
19.8%
015764
52.5%
14
 
< 0.1%
23819
 
12.7%
3240
 
0.8%
476
 
0.3%
521
 
0.1%
623
 
0.1%
727
 
0.1%
ValueCountFrequency (%)
83
 
< 0.1%
727
 
0.1%
623
 
0.1%
521
 
0.1%
476
 
0.3%
3240
 
0.8%
23819
 
12.7%
14
 
< 0.1%
015764
52.5%
-15938
 
19.8%

X9
Real number (ℝ)

High correlation  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.22066667
Minimum-2
Maximum8
Zeros16455
Zeros (%)54.9%
Negative10035
Negative (%)33.5%
Memory size234.5 KiB
2025-12-10T15:33:11.235841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1691386
Coefficient of variation (CV)-5.2982113
Kurtosis3.4969835
Mean-0.22066667
Median Absolute Deviation (MAD)0
Skewness0.99962941
Sum-6620
Variance1.3668851
MonotonicityNot monotonic
2025-12-10T15:33:11.344347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
016455
54.9%
-15687
 
19.0%
-24348
 
14.5%
23159
 
10.5%
3180
 
0.6%
469
 
0.2%
758
 
0.2%
535
 
0.1%
65
 
< 0.1%
12
 
< 0.1%
ValueCountFrequency (%)
-24348
 
14.5%
-15687
 
19.0%
016455
54.9%
12
 
< 0.1%
23159
 
10.5%
3180
 
0.6%
469
 
0.2%
535
 
0.1%
65
 
< 0.1%
758
 
0.2%
ValueCountFrequency (%)
82
 
< 0.1%
758
 
0.2%
65
 
< 0.1%
535
 
0.1%
469
 
0.2%
3180
 
0.6%
23159
 
10.5%
12
 
< 0.1%
016455
54.9%
-15687
 
19.0%

X10
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2662
Minimum-2
Maximum8
Zeros16947
Zeros (%)56.5%
Negative10085
Negative (%)33.6%
Memory size234.5 KiB
2025-12-10T15:33:11.452869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1331874
Coefficient of variation (CV)-4.2569024
Kurtosis3.9897481
Mean-0.2662
Median Absolute Deviation (MAD)0
Skewness1.008197
Sum-7986
Variance1.2841137
MonotonicityNot monotonic
2025-12-10T15:33:11.572762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
016947
56.5%
-15539
 
18.5%
-24546
 
15.2%
22626
 
8.8%
3178
 
0.6%
484
 
0.3%
758
 
0.2%
517
 
0.1%
64
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
-24546
 
15.2%
-15539
 
18.5%
016947
56.5%
22626
 
8.8%
3178
 
0.6%
484
 
0.3%
517
 
0.1%
64
 
< 0.1%
758
 
0.2%
81
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
758
 
0.2%
64
 
< 0.1%
517
 
0.1%
484
 
0.3%
3178
 
0.6%
22626
 
8.8%
016947
56.5%
-15539
 
18.5%
-24546
 
15.2%

X11
Real number (ℝ)

High correlation  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2911
Minimum-2
Maximum8
Zeros16286
Zeros (%)54.3%
Negative10635
Negative (%)35.4%
Memory size234.5 KiB
2025-12-10T15:33:11.680615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-1
median0
Q30
95-th percentile2
Maximum8
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1499876
Coefficient of variation (CV)-3.95049
Kurtosis3.4265341
Mean-0.2911
Median Absolute Deviation (MAD)0
Skewness0.94802939
Sum-8733
Variance1.3224715
MonotonicityNot monotonic
2025-12-10T15:33:11.787932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
016286
54.3%
-15740
 
19.1%
-24895
 
16.3%
22766
 
9.2%
3184
 
0.6%
449
 
0.2%
746
 
0.2%
619
 
0.1%
513
 
< 0.1%
82
 
< 0.1%
ValueCountFrequency (%)
-24895
 
16.3%
-15740
 
19.1%
016286
54.3%
22766
 
9.2%
3184
 
0.6%
449
 
0.2%
513
 
< 0.1%
619
 
0.1%
746
 
0.2%
82
 
< 0.1%
ValueCountFrequency (%)
82
 
< 0.1%
746
 
0.2%
619
 
0.1%
513
 
< 0.1%
449
 
0.2%
3184
 
0.6%
22766
 
9.2%
016286
54.3%
-15740
 
19.1%
-24895
 
16.3%

X12
Real number (ℝ)

High correlation  Zeros 

Distinct22723
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51223.331
Minimum-165580
Maximum964511
Zeros2008
Zeros (%)6.7%
Negative590
Negative (%)2.0%
Memory size234.5 KiB
2025-12-10T15:33:11.934216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-165580
5-th percentile0
Q13558.75
median22381.5
Q367091
95-th percentile201203.05
Maximum964511
Range1130091
Interquartile range (IQR)63532.25

Descriptive statistics

Standard deviation73635.861
Coefficient of variation (CV)1.4375453
Kurtosis9.8062893
Mean51223.331
Median Absolute Deviation (MAD)21800.5
Skewness2.663861
Sum1.5366999 × 109
Variance5.42224 × 109
MonotonicityNot monotonic
2025-12-10T15:33:12.109596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02008
 
6.7%
390244
 
0.8%
78076
 
0.3%
32672
 
0.2%
31663
 
0.2%
250059
 
0.2%
39649
 
0.2%
240039
 
0.1%
41629
 
0.1%
50025
 
0.1%
Other values (22713)27336
91.1%
ValueCountFrequency (%)
-1655801
< 0.1%
-1549731
< 0.1%
-153081
< 0.1%
-143861
< 0.1%
-115451
< 0.1%
-106821
< 0.1%
-98021
< 0.1%
-90951
< 0.1%
-81871
< 0.1%
-74381
< 0.1%
ValueCountFrequency (%)
9645111
< 0.1%
7468141
< 0.1%
6530621
< 0.1%
6304581
< 0.1%
6266481
< 0.1%
6217491
< 0.1%
6138601
< 0.1%
6107231
< 0.1%
6085941
< 0.1%
6040191
< 0.1%

X13
Real number (ℝ)

High correlation  Zeros 

Distinct22346
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49179.075
Minimum-69777
Maximum983931
Zeros2506
Zeros (%)8.4%
Negative669
Negative (%)2.2%
Memory size234.5 KiB
2025-12-10T15:33:12.285603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-69777
5-th percentile0
Q12984.75
median21200
Q364006.25
95-th percentile194792.2
Maximum983931
Range1053708
Interquartile range (IQR)61021.5

Descriptive statistics

Standard deviation71173.769
Coefficient of variation (CV)1.4472368
Kurtosis10.302946
Mean49179.075
Median Absolute Deviation (MAD)20810
Skewness2.7052209
Sum1.4753723 × 109
Variance5.0657054 × 109
MonotonicityNot monotonic
2025-12-10T15:33:12.453792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02506
 
8.4%
390231
 
0.8%
78075
 
0.2%
32675
 
0.2%
31672
 
0.2%
39651
 
0.2%
250051
 
0.2%
240042
 
0.1%
-20029
 
0.1%
41628
 
0.1%
Other values (22336)26840
89.5%
ValueCountFrequency (%)
-697771
< 0.1%
-675261
< 0.1%
-333501
< 0.1%
-300001
< 0.1%
-262141
< 0.1%
-247041
< 0.1%
-247021
< 0.1%
-229601
< 0.1%
-186181
< 0.1%
-180881
< 0.1%
ValueCountFrequency (%)
9839311
< 0.1%
7439701
< 0.1%
6715631
< 0.1%
6467701
< 0.1%
6244751
< 0.1%
6059431
< 0.1%
5977931
< 0.1%
5868251
< 0.1%
5817751
< 0.1%
5776811
< 0.1%

X14
Real number (ℝ)

High correlation  Zeros 

Distinct22026
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47013.155
Minimum-157264
Maximum1664089
Zeros2870
Zeros (%)9.6%
Negative655
Negative (%)2.2%
Memory size234.5 KiB
2025-12-10T15:33:12.614538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-157264
5-th percentile0
Q12666.25
median20088.5
Q360164.75
95-th percentile187821.05
Maximum1664089
Range1821353
Interquartile range (IQR)57498.5

Descriptive statistics

Standard deviation69349.387
Coefficient of variation (CV)1.475106
Kurtosis19.783255
Mean47013.155
Median Absolute Deviation (MAD)19708.5
Skewness3.08783
Sum1.4103946 × 109
Variance4.8093375 × 109
MonotonicityNot monotonic
2025-12-10T15:33:12.780155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02870
 
9.6%
390275
 
0.9%
78074
 
0.2%
32663
 
0.2%
31662
 
0.2%
39648
 
0.2%
250040
 
0.1%
240039
 
0.1%
41629
 
0.1%
20027
 
0.1%
Other values (22016)26473
88.2%
ValueCountFrequency (%)
-1572641
< 0.1%
-615061
< 0.1%
-461271
< 0.1%
-340411
< 0.1%
-254431
< 0.1%
-247021
< 0.1%
-203201
< 0.1%
-177061
< 0.1%
-159101
< 0.1%
-156411
< 0.1%
ValueCountFrequency (%)
16640891
< 0.1%
8550861
< 0.1%
6931311
< 0.1%
6896431
< 0.1%
6896271
< 0.1%
6320411
< 0.1%
5974151
< 0.1%
5789711
< 0.1%
5779571
< 0.1%
5770151
< 0.1%

X15
Real number (ℝ)

High correlation  Zeros 

Distinct21548
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43262.949
Minimum-170000
Maximum891586
Zeros3195
Zeros (%)10.7%
Negative675
Negative (%)2.2%
Memory size234.5 KiB
2025-12-10T15:33:12.953590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-170000
5-th percentile0
Q12326.75
median19052
Q354506
95-th percentile174333.35
Maximum891586
Range1061586
Interquartile range (IQR)52179.25

Descriptive statistics

Standard deviation64332.856
Coefficient of variation (CV)1.4870197
Kurtosis11.309325
Mean43262.949
Median Absolute Deviation (MAD)18656
Skewness2.8219653
Sum1.2978885 × 109
Variance4.1387164 × 109
MonotonicityNot monotonic
2025-12-10T15:33:13.118843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03195
 
10.7%
390246
 
0.8%
780101
 
0.3%
31668
 
0.2%
32662
 
0.2%
39644
 
0.1%
15039
 
0.1%
240039
 
0.1%
250034
 
0.1%
41633
 
0.1%
Other values (21538)26139
87.1%
ValueCountFrequency (%)
-1700001
< 0.1%
-813341
< 0.1%
-651671
< 0.1%
-506161
< 0.1%
-466271
< 0.1%
-345031
< 0.1%
-274901
< 0.1%
-243031
< 0.1%
-221081
< 0.1%
-203201
< 0.1%
ValueCountFrequency (%)
8915861
< 0.1%
7068641
< 0.1%
6286991
< 0.1%
6168361
< 0.1%
5728051
< 0.1%
5690341
< 0.1%
5656691
< 0.1%
5635431
< 0.1%
5480201
< 0.1%
5426531
< 0.1%

X16
Real number (ℝ)

High correlation  Zeros 

Distinct21010
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40311.401
Minimum-81334
Maximum927171
Zeros3506
Zeros (%)11.7%
Negative655
Negative (%)2.2%
Memory size234.5 KiB
2025-12-10T15:33:13.282229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-81334
5-th percentile0
Q11763
median18104.5
Q350190.5
95-th percentile165794.3
Maximum927171
Range1008505
Interquartile range (IQR)48427.5

Descriptive statistics

Standard deviation60797.156
Coefficient of variation (CV)1.5081876
Kurtosis12.305881
Mean40311.401
Median Absolute Deviation (MAD)17688.5
Skewness2.8763799
Sum1.209342 × 109
Variance3.6962941 × 109
MonotonicityNot monotonic
2025-12-10T15:33:13.446346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03506
 
11.7%
390235
 
0.8%
78094
 
0.3%
31679
 
0.3%
32662
 
0.2%
15058
 
0.2%
39647
 
0.2%
240039
 
0.1%
250037
 
0.1%
41636
 
0.1%
Other values (21000)25807
86.0%
ValueCountFrequency (%)
-813341
< 0.1%
-613721
< 0.1%
-530071
< 0.1%
-466271
< 0.1%
-375941
< 0.1%
-361561
< 0.1%
-304811
< 0.1%
-283351
< 0.1%
-230031
< 0.1%
-207531
< 0.1%
ValueCountFrequency (%)
9271711
< 0.1%
8235401
< 0.1%
5870671
< 0.1%
5517021
< 0.1%
5478801
< 0.1%
5306721
< 0.1%
5243151
< 0.1%
5161391
< 0.1%
5141141
< 0.1%
5082131
< 0.1%

X17
Real number (ℝ)

High correlation  Zeros 

Distinct20604
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38871.76
Minimum-339603
Maximum961664
Zeros4020
Zeros (%)13.4%
Negative688
Negative (%)2.3%
Memory size234.5 KiB
2025-12-10T15:33:13.621627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-339603
5-th percentile0
Q11256
median17071
Q349198.25
95-th percentile161912
Maximum961664
Range1301267
Interquartile range (IQR)47942.25

Descriptive statistics

Standard deviation59554.108
Coefficient of variation (CV)1.5320661
Kurtosis12.270705
Mean38871.76
Median Absolute Deviation (MAD)16755
Skewness2.8466446
Sum1.1661528 × 109
Variance3.5466917 × 109
MonotonicityNot monotonic
2025-12-10T15:33:13.806107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04020
 
13.4%
390207
 
0.7%
78086
 
0.3%
15078
 
0.3%
31677
 
0.3%
32656
 
0.2%
39645
 
0.1%
41636
 
0.1%
-1833
 
0.1%
240032
 
0.1%
Other values (20594)25330
84.4%
ValueCountFrequency (%)
-3396031
< 0.1%
-2090511
< 0.1%
-1509531
< 0.1%
-946251
< 0.1%
-738951
< 0.1%
-570601
< 0.1%
-514431
< 0.1%
-511831
< 0.1%
-466271
< 0.1%
-457341
< 0.1%
ValueCountFrequency (%)
9616641
< 0.1%
6999441
< 0.1%
5686381
< 0.1%
5277111
< 0.1%
5275661
< 0.1%
5149751
< 0.1%
5137981
< 0.1%
5119051
< 0.1%
5013701
< 0.1%
4991001
< 0.1%

X18
Real number (ℝ)

High correlation  Zeros 

Distinct7943
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5663.5805
Minimum0
Maximum873552
Zeros5249
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:13.982219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median2100
Q35006
95-th percentile18428.2
Maximum873552
Range873552
Interquartile range (IQR)4006

Descriptive statistics

Standard deviation16563.28
Coefficient of variation (CV)2.9245246
Kurtosis415.25474
Mean5663.5805
Median Absolute Deviation (MAD)1932
Skewness14.668364
Sum1.6990742 × 108
Variance2.7434226 × 108
MonotonicityNot monotonic
2025-12-10T15:33:14.162235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05249
 
17.5%
20001363
 
4.5%
3000891
 
3.0%
5000698
 
2.3%
1500507
 
1.7%
4000426
 
1.4%
10000401
 
1.3%
1000365
 
1.2%
2500298
 
1.0%
6000294
 
1.0%
Other values (7933)19508
65.0%
ValueCountFrequency (%)
05249
17.5%
19
 
< 0.1%
214
 
< 0.1%
315
 
0.1%
418
 
0.1%
512
 
< 0.1%
615
 
0.1%
79
 
< 0.1%
88
 
< 0.1%
97
 
< 0.1%
ValueCountFrequency (%)
8735521
< 0.1%
5050001
< 0.1%
4933581
< 0.1%
4239031
< 0.1%
4050161
< 0.1%
3681991
< 0.1%
3230141
< 0.1%
3048151
< 0.1%
3020001
< 0.1%
3000391
< 0.1%

X19
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct7899
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5921.1635
Minimum0
Maximum1684259
Zeros5396
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:14.349592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1833
median2009
Q35000
95-th percentile19004.35
Maximum1684259
Range1684259
Interquartile range (IQR)4167

Descriptive statistics

Standard deviation23040.87
Coefficient of variation (CV)3.8912741
Kurtosis1641.6319
Mean5921.1635
Median Absolute Deviation (MAD)1991
Skewness30.453817
Sum1.776349 × 108
Variance5.3088171 × 108
MonotonicityNot monotonic
2025-12-10T15:33:14.535166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05396
 
18.0%
20001290
 
4.3%
3000857
 
2.9%
5000717
 
2.4%
1000594
 
2.0%
1500521
 
1.7%
4000410
 
1.4%
10000318
 
1.1%
6000283
 
0.9%
2500251
 
0.8%
Other values (7889)19363
64.5%
ValueCountFrequency (%)
05396
18.0%
115
 
0.1%
220
 
0.1%
318
 
0.1%
411
 
< 0.1%
525
 
0.1%
68
 
< 0.1%
712
 
< 0.1%
89
 
< 0.1%
96
 
< 0.1%
ValueCountFrequency (%)
16842591
< 0.1%
12270821
< 0.1%
12154711
< 0.1%
10245161
< 0.1%
5804641
< 0.1%
4155521
< 0.1%
4010031
< 0.1%
3881261
< 0.1%
3852281
< 0.1%
3849861
< 0.1%

X20
Real number (ℝ)

High correlation  Zeros 

Distinct7518
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5225.6815
Minimum0
Maximum896040
Zeros5968
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:14.717560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1390
median1800
Q34505
95-th percentile17589.4
Maximum896040
Range896040
Interquartile range (IQR)4115

Descriptive statistics

Standard deviation17606.961
Coefficient of variation (CV)3.3693139
Kurtosis564.31123
Mean5225.6815
Median Absolute Deviation (MAD)1795
Skewness17.216635
Sum1.5677044 × 108
Variance3.1000509 × 108
MonotonicityNot monotonic
2025-12-10T15:33:14.895136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05968
 
19.9%
20001285
 
4.3%
10001103
 
3.7%
3000870
 
2.9%
5000721
 
2.4%
1500490
 
1.6%
4000381
 
1.3%
10000312
 
1.0%
1200243
 
0.8%
6000241
 
0.8%
Other values (7508)18386
61.3%
ValueCountFrequency (%)
05968
19.9%
113
 
< 0.1%
219
 
0.1%
314
 
< 0.1%
415
 
0.1%
518
 
0.1%
614
 
< 0.1%
718
 
0.1%
810
 
< 0.1%
912
 
< 0.1%
ValueCountFrequency (%)
8960401
< 0.1%
8890431
< 0.1%
5082291
< 0.1%
4175881
< 0.1%
4009721
< 0.1%
3970921
< 0.1%
3804781
< 0.1%
3717181
< 0.1%
3493951
< 0.1%
3442611
< 0.1%

X21
Real number (ℝ)

High correlation  Zeros 

Distinct6937
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4826.0769
Minimum0
Maximum621000
Zeros6408
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:15.131152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1296
median1500
Q34013.25
95-th percentile16014.95
Maximum621000
Range621000
Interquartile range (IQR)3717.25

Descriptive statistics

Standard deviation15666.16
Coefficient of variation (CV)3.246148
Kurtosis277.33377
Mean4826.0769
Median Absolute Deviation (MAD)1500
Skewness12.904985
Sum1.4478231 × 108
Variance2.4542856 × 108
MonotonicityNot monotonic
2025-12-10T15:33:15.377357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06408
 
21.4%
10001394
 
4.6%
20001214
 
4.0%
3000887
 
3.0%
5000810
 
2.7%
1500441
 
1.5%
4000402
 
1.3%
10000341
 
1.1%
2500259
 
0.9%
500258
 
0.9%
Other values (6927)17586
58.6%
ValueCountFrequency (%)
06408
21.4%
122
 
0.1%
222
 
0.1%
313
 
< 0.1%
420
 
0.1%
512
 
< 0.1%
616
 
0.1%
711
 
< 0.1%
87
 
< 0.1%
99
 
< 0.1%
ValueCountFrequency (%)
6210001
< 0.1%
5288971
< 0.1%
4970001
< 0.1%
4321301
< 0.1%
4000461
< 0.1%
3317881
< 0.1%
3309821
< 0.1%
3200081
< 0.1%
3130941
< 0.1%
2929621
< 0.1%

X22
Real number (ℝ)

High correlation  Zeros 

Distinct6897
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4799.3876
Minimum0
Maximum426529
Zeros6703
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:15.598063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1252.5
median1500
Q34031.5
95-th percentile16000
Maximum426529
Range426529
Interquartile range (IQR)3779

Descriptive statistics

Standard deviation15278.306
Coefficient of variation (CV)3.1833865
Kurtosis180.06394
Mean4799.3876
Median Absolute Deviation (MAD)1500
Skewness11.127417
Sum1.4398163 × 108
Variance2.3342662 × 108
MonotonicityNot monotonic
2025-12-10T15:33:15.795008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06703
 
22.3%
10001340
 
4.5%
20001323
 
4.4%
3000947
 
3.2%
5000814
 
2.7%
1500426
 
1.4%
4000401
 
1.3%
10000343
 
1.1%
500250
 
0.8%
6000247
 
0.8%
Other values (6887)17206
57.4%
ValueCountFrequency (%)
06703
22.3%
121
 
0.1%
213
 
< 0.1%
313
 
< 0.1%
412
 
< 0.1%
59
 
< 0.1%
67
 
< 0.1%
79
 
< 0.1%
86
 
< 0.1%
96
 
< 0.1%
ValueCountFrequency (%)
4265291
< 0.1%
4179901
< 0.1%
3880711
< 0.1%
3792671
< 0.1%
3320001
< 0.1%
3317881
< 0.1%
3309821
< 0.1%
3268891
< 0.1%
3170771
< 0.1%
3101351
< 0.1%

X23
Real number (ℝ)

High correlation  Zeros 

Distinct6939
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5215.5026
Minimum0
Maximum528666
Zeros7173
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-12-10T15:33:15.983284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1117.75
median1500
Q34000
95-th percentile17343.8
Maximum528666
Range528666
Interquartile range (IQR)3882.25

Descriptive statistics

Standard deviation17777.466
Coefficient of variation (CV)3.4085815
Kurtosis167.16143
Mean5215.5026
Median Absolute Deviation (MAD)1500
Skewness10.640727
Sum1.5646508 × 108
Variance3.1603829 × 108
MonotonicityNot monotonic
2025-12-10T15:33:16.180594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07173
23.9%
10001299
 
4.3%
20001295
 
4.3%
3000914
 
3.0%
5000808
 
2.7%
1500439
 
1.5%
4000411
 
1.4%
10000356
 
1.2%
500247
 
0.8%
6000220
 
0.7%
Other values (6929)16838
56.1%
ValueCountFrequency (%)
07173
23.9%
120
 
0.1%
29
 
< 0.1%
314
 
< 0.1%
412
 
< 0.1%
57
 
< 0.1%
66
 
< 0.1%
75
 
< 0.1%
86
 
< 0.1%
97
 
< 0.1%
ValueCountFrequency (%)
5286661
< 0.1%
5271431
< 0.1%
4430011
< 0.1%
4220001
< 0.1%
4035001
< 0.1%
3770001
< 0.1%
3724951
< 0.1%
3512821
< 0.1%
3452931
< 0.1%
3080001
< 0.1%

Y
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size234.5 KiB
0
23364 
1
6636 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
023364
77.9%
16636
 
22.1%

Length

2025-12-10T15:33:16.359104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-12-10T15:33:16.457690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
023364
77.9%
16636
 
22.1%

Most occurring characters

ValueCountFrequency (%)
023364
77.9%
16636
 
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
023364
77.9%
16636
 
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
023364
77.9%
16636
 
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)30000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
023364
77.9%
16636
 
22.1%

Interactions

2025-12-10T15:33:05.372122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:09.231310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:11.901068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:14.658539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:17.608673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:20.297675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:23.089002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:25.638760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.133352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:30.709886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:33.345741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:36.182251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:38.866890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:41.852678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:44.935167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:47.552855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:50.675627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:53.410525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:56.664159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:59.510320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:02.524598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:05.504560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:09.355839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:12.019088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:14.805032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:17.744560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:20.426789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:23.211422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:25.759148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.251578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:30.827998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:33.472976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:36.300047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:39.004762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:41.997798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:45.058021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:47.682996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:50.805363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:53.559603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:56.795198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:59.651825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:02.659449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:32:09.482997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:32:14.946064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:17.897492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:20.543465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:23.331428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:25.874862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.366782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:30.954129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:33.602390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:36.424158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:39.137511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:42.132566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:45.177763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:32:50.940325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:32:56.926873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:33:05.784089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:09.611075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:12.256147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:15.088830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:18.031789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:20.662774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:23.457608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:25.991714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.495740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:31.087428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:33.734228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:36.548827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:39.281393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:42.269286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:45.300589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:47.953928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:51.069876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:53.859770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:57.058110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:59.932463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:02.947645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:05.915341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:09.737608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:12.372768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:15.238868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:18.159092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:20.778659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:23.572416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:26.110034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.607934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:31.215455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:33.861450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:36.666960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:39.412918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:42.399475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:45.414589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:48.093059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:51.190413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:54.031950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:57.182654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:00.078177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:03.088610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:06.045660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:09.864676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:12.486114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:15.390458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:18.282360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:20.896462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:23.683616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:26.217390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.742863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:31.336852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:33.986765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:36.798895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:39.544985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:42.528319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:45.540830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:48.219284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:51.310552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:54.189332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:57.317572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:00.212910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:32:18.402606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:21.011618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:23.801311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:26.325370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.860532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:31.459755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:34.112528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:36.923399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:39.676145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:42.658425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:45.653262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:48.349059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:51.427256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:32:57.443263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:00.346536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:03.354088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:32:10.116569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:12.725706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:15.676029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:18.524204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:21.126190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:23.914317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:26.433439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.979371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:31.580652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:34.250602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-12-10T15:32:14.063725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:17.102089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:19.821905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:22.569872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:25.150094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:27.672521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:30.227757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:32.850314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:35.644511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:38.355550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:41.233318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:44.421686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:47.048119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:49.941952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:52.891934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:56.081794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:58.972455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:01.941113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:04.871629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:08.054698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:11.520627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:14.200785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:17.225687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:19.938372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:22.708390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:25.268586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:27.786595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:30.345543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:32.972654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:35.778433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:38.489120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:41.383425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:44.543683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:47.167468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:50.234271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:53.017052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:56.224098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:59.102397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:02.074916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:05.000108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:08.191857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:11.650614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:14.371150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:17.354301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:20.063151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:22.837091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:25.405158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:27.905586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:30.471776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:33.096417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:35.928912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:38.620873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:41.563306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:44.675931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:47.305969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:50.388195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:53.153304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:56.372411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:59.252856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:02.215747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:05.129786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:08.320308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:11.772382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:14.513674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:17.476729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:20.179723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:22.965416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:25.520450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:28.017972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:30.588595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:33.212916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:36.054638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:38.741959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:41.709383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:44.809484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:47.431496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:50.531978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:53.281312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:56.521572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:32:59.381405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:02.363818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-12-10T15:33:05.248801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-12-10T15:33:16.579405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
X1X10X11X12X13X14X15X16X17X18X19X2X20X21X22X23X3X4X5X6X7X8X9Y
X11.000-0.285-0.2640.0540.0490.0610.0730.0810.0880.2720.2780.1490.2840.2830.2940.317-0.2640.0670.186-0.296-0.343-0.332-0.3090.176
X10-0.2851.0000.8210.4990.5380.5870.6500.6180.5790.1750.2220.0560.2600.1070.1850.1720.1370.033-0.0830.4860.6740.7180.8220.270
X11-0.2640.8211.0000.4880.5240.5610.6060.6680.6300.1780.2000.0460.2380.2840.1410.1980.1240.030-0.0760.4640.6350.6710.7320.250
X120.0540.4990.4881.0000.9110.8580.8070.7690.7340.5020.4720.1150.4410.4420.4250.4100.0950.0000.0010.3150.5710.5240.5120.000
X130.0490.5380.5240.9111.0000.9080.8480.8030.7650.6360.4980.0990.4680.4610.4490.4290.0920.0000.0020.3300.5510.5890.5580.000
X140.0610.5870.5610.8580.9081.0000.9040.8490.8040.5500.6380.1050.4920.4890.4770.4580.0810.0000.0020.3140.5190.5570.6190.000
X150.0730.6500.6060.8070.8480.9041.0000.9030.8480.5120.5550.0860.6340.5070.5040.4810.0690.000-0.0030.3070.4980.5310.5930.000
X160.0810.6180.6680.7690.8030.8490.9031.0000.9020.4830.5150.0920.5490.6470.5250.5090.0600.000-0.0000.2990.4780.5070.5610.000
X170.0880.5790.6300.7340.7650.8040.8480.9021.0000.4560.4870.1060.5190.5700.6660.5290.0560.0000.0000.2890.4590.4850.5340.000
X180.2720.1750.1780.5020.6360.5500.5120.4830.4561.0000.5120.0720.5190.4860.4680.455-0.0420.1030.034-0.0980.0200.2160.1850.000
X190.2780.2220.2000.4720.4980.6380.5550.5150.4870.5121.0000.0580.5160.5200.4970.491-0.0470.0000.044-0.0640.0840.0370.2460.000
X20.1490.0560.0460.1150.0990.1050.0860.0920.1060.0720.0581.0000.0240.0360.0000.0260.0290.0320.0970.0660.0750.0710.0640.039
X200.2840.2600.2380.4410.4680.4920.6340.5490.5190.5190.5160.0241.0000.5160.5340.505-0.0420.0000.033-0.0540.0870.1030.0690.000
X210.2830.1070.2840.4420.4610.4890.5070.6470.5700.4860.5200.0360.5161.0000.5340.547-0.0430.0000.041-0.0340.0950.1190.1440.000
X220.2940.1850.1410.4250.4490.4770.5040.5250.6660.4680.4970.0000.5340.5341.0000.549-0.0490.0000.038-0.0260.0990.1240.1620.000
X230.3170.1720.1980.4100.4290.4580.4810.5090.5290.4550.4910.0260.5050.5470.5491.000-0.0530.0000.039-0.0450.0820.0980.1430.000
X3-0.2640.1370.1240.0950.0920.0810.0690.0600.056-0.042-0.0470.029-0.042-0.043-0.049-0.0531.0000.1140.1590.1320.1690.1620.1520.072
X40.0670.0330.0300.0000.0000.0000.0000.0000.0000.1030.0000.0320.0000.0000.0000.0000.1141.0000.2940.0360.0330.0320.0350.033
X50.186-0.083-0.0760.0010.0020.002-0.003-0.0000.0000.0340.0440.0970.0330.0410.0380.0390.1590.2941.000-0.064-0.083-0.083-0.0800.059
X6-0.2960.4860.4640.3150.3300.3140.3070.2990.289-0.098-0.0640.066-0.054-0.034-0.026-0.0450.1320.036-0.0641.0000.6270.5480.5160.423
X7-0.3430.6740.6350.5710.5510.5190.4980.4780.4590.0200.0840.0750.0870.0950.0990.0820.1690.033-0.0830.6271.0000.7990.7130.340
X8-0.3320.7180.6710.5240.5890.5570.5310.5070.4850.2160.0370.0710.1030.1190.1240.0980.1620.032-0.0830.5480.7991.0000.8010.295
X9-0.3090.8220.7320.5120.5580.6190.5930.5610.5340.1850.2460.0640.0690.1440.1620.1430.1520.035-0.0800.5160.7130.8011.0000.279
Y0.1760.2700.2500.0000.0000.0000.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0720.0330.0590.4230.3400.2950.2791.000

Missing values

2025-12-10T15:33:08.587249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-12-10T15:33:08.881764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

X1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23Y
1200002212422-1-1-2-239133102689000068900001
212000022226-1200022682172526823272345532610100010001000020001
390000222340000002923914027135591433114948155491518150010001000100050000
450000221370000004699048233492912831428959295472000201912001100106910000
55000012157-10-100086175670358352094019146191312000366811000090006896790
6500001123700000064400570695760819394196192002425001815657100010008000
7500000112290000003679654120234450075426534830034739445500040000380002023913750137700
8100000222230-1-100-111876380601221-1595673806010581168715420
91400002312800200011285140961210812211117933719332904321000100010000
102000013235-2-2-2-2-1-10000130071391200013007112200
X1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23Y
299911400001214100000013832513714213911013826249675461216000700042281505200020000
29992210000121343222222500250025002500250025000000001
299931000013143000-2-2-288021040000002000000000
29994100000112380-1-100030421427102996706266947355004200011178440003000200020000
2999580000122342222227255777708793847751982607811587000350007000040001
299962200001313900000018894819281520836588004312371598085002000050033047500010000
2999715000013243-1-1-1-100168318283502897951900183735268998129000
299983000012237432-10035653356275820878205821935700220004200200031001
2999980000131411-1000-1-16457837976304527741185548944859003409117819265296418041
3000050000121460000004792948905497643653532428153132078180014301000100010001

Duplicate rows

Most frequently occurring

X1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23Y# duplicates
0200001222422444416501650165016501650165000000012
150000122261-2-2-2-2-200000000000002
250000212231-2-2-2-2-200000000000002
38000022131-2-2-2-2-2-200000000000002
48000022225-2-2-2-2-2-200000000000002
58000023142-2-2-2-2-2-200000000000002
690000212311-2-2-2-2-200000000000002
7100000221491-2-2-2-2-200000000000002
8110000212311-2-2-2-2-200000000000002
9140000112291-2-2-2-2-200000000000002